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Record W276425247

Geopolitical impact of the development of unconventional hydrocarbons

2014· article· en· W276425247 on OpenAlexaboutno aff
Mariano Marzo Carpio

Bibliographic record

VenueCuadernos de estrategia · 2014
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsUnconventional oilGeopoliticsProduction (economics)Natural resource economicsNatural gasInternational tradeFossil fuelSupply and demandEuropean unionBusinessEconomicsPolitical scienceEngineeringPolitics
DOInot available

Abstract

fetched live from OpenAlex

Unconventional oil and gas resources are abundant and their production is economically viable. In addition, the geographical distribution of these resources helps to diversify the traditional sources of supply currently highly concentrated in the Middle East and Russia. Stagnation and imminent fall in production of crude oil will make unconventional oil to gain prominence in the future. Over the next decade, its increasing extraction, particularly in the United States and Canada, will help to temporarily weaken the hegemony of the OPEC which nevertheless will regain control of the market shortly after the mid-1920s. Meanwhile, the production of unconventional gas will extend in the future from North America to other parts of the world, consolidating its contribution to the global supply of gas on a long-term basis. The change in the geography of demand, whose centre is moving towards Asia, along with the changes introduced by the unconventional hydrocarbons production in the current balance between exporting and importing countries, will incur a reorganization of the trade flows of oil and natural gas, with implications upon the security of the global supply routes. The United States, which thanks to unconventional oil, achieves the auto-sufficiency in the case of natural gas as well as a low degree of dependence on crude oil imports, is the big beneficiary in the medium term of the so-called unconventional revolution. The European Union, by contrast, will see an increase on its imports and external dependence.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.299
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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